Docker opencvino tutorial
First, make sure you have installed docke.
1. Use the command to search for openvino
# 本地镜像
docker images
# 搜索openvino docker镜像
[root@abc123 /]# docker search openvino
NAME DESCRIPTION STARS OFFICIAL AUTOMATED
openvino/workbench OpenVINO™ DL Workbench is a web GUI to simpl… 10
intelaipg/openvino-model-server OpenVINO Model Server [DEPRECATED] Please us… 8
openvino/ubuntu18_runtime Intel® Distribution of OpenVINO™ toolkit Doc… 6
openvino/ubuntu18_dev Intel® Distribution of OpenVINO™ toolkit Doc… 5
cortexica/openvino Ubuntu 18.04 image with Intel OpenVINO depen… 4 [OK]
kuberlab/openvino 1
openvino/model_server Intel® Distribution of OpenVINO™ Model Serve… 1
openvino/ubuntu20_runtime Intel® Distribution of OpenVINO™ toolkit Doc… 1
openvinoincluit/openvino Ubuntu 16.04 + OpenVINO toolkit docker image 1
clearlinux/openvino OpenVino base container image with the benef… 1
openvino/ubuntu18_model_server [DEPRECATED] Please use openvino/model_serve… 0
openvino/ubuntu18_data_dev Intel® Distribution of OpenVINO™ toolkit Doc… 0
never2die/openvino_cpu_app OpenVINO CPU sample application 0
aleksandronepanelio/openvino.dextr 0
edgeworx/openvino-camera-ai 0
aleksandronepanelio/openvino.omz.public.yolo-v3-tf 0
daisukeiot/openvino-container 0
leixia1/openvino openvino docker images 0
openvino/centos7_runtime Intel® Distribution of OpenVINO™ toolkit Doc… 0
openvinodevosdk/basic openvino toolkit and devo sdk 0
dheni/openvino openvino image for face recognition 0
iotgvmc/openvino 0
nrandell/openvino-dotnet-core-runtime 0
hal9zillion/openvino Dockerised Intel Openvino Environment 0
aschu/openvino Ubuntu 16.04 with Intel OpenVino toolkit ins… 0
2. Download the mirror
Recommended download: openvino/ubuntu18_dev , this is the complete openvino,
openvino/ubuntu18_runtime does not include open_model_zoo and model_optimizer.
docker pull openvino/ubuntu18_dev
# 或者直接运行
docker run -it -u 0 --rm openvino/ubuntu18_dev /bin/bash # 会自动下载
3. Run the demo
docker openvino does not need to be installed, it can be used directly, very good
3.1 But you must install the linux command
apt-get update
apt-get install sudo
apt-get install vim
apt-get instll tree # 演示必要
3.2 Enter the mirror
docker run -it -u 0 --rm openvino/ubuntu18_dev /bin/bash
root@e435a63279f8:/opt/intel/openvino_2021.2.185# pwd
/opt/intel/openvino_2021.2.185 # openvino已经直接安装好了
root@e435a63279f8:/opt/intel/openvino_2021.2.185# tree -L 2
.
|-- bin
| `-- setupvars.sh
|-- deployment_tools
| |-- demo # demo路径
| |-- inference_engine
| |-- intel_models -> open_model_zoo/models/intel
| |-- model_optimizer
| |-- ngraph
| |-- open_model_zoo # demo源代码
| `-- tools
|-- documentation
| |-- OpenVINO-GetStarted-Linux-online.html
| |-- OpenVINO-Install-Linux-online.html
| |-- OpenVINO-OpenCV-documentation.html
| `-- OpenVINO-documentation-online.html
|-- inference_engine -> deployment_tools/inference_engine
|-- install_dependencies
| |-- install_NCS_udev_rules.sh
| |-- install_NEO_OCL_driver.sh
| |-- install_guide.html
| |-- install_openvino_dependencies.sh
| |-- neo_centos_19.41.14441.sum
| `-- neo_centos_20.35.17767.sum
|-- licensing
| |-- EULA.rtf
| |-- EULA.txt
| |-- OpenVINOsupport.txt
| |-- deployment_tools
| |-- install_dependencies
| |-- opencv
| |-- openvx
| `-- readme.txt
|-- opencv
| |-- bin
| |-- build_params.txt
| |-- cmake
| |-- etc
| |-- include
| |-- lib
| |-- samples
| |-- setupvars.sh
| |-- third-party-programs.txt
| `-- version.txt
`-- python
|-- python3
|-- python3.6
|-- python3.7
`-- requirements.txt
28 directories, 20 files
3.3 Enter the demo path
root@e435a63279f8:/opt/intel/openvino_2021.2.185# ls
bin deployment_tools documentation inference_engine install_dependencies licensing opencv python
root@e435a63279f8:/opt/intel/openvino_2021.2.185# cd deployment_tools/
root@e435a63279f8:/opt/intel/openvino_2021.2.185/deployment_tools# ls
demo inference_engine intel_models model_optimizer ngraph open_model_zoo tools
root@e435a63279f8:/opt/intel/openvino_2021.2.185/deployment_tools# cd demo
root@e435a63279f8:/opt/intel/openvino_2021.2.185/deployment_tools/demo# ls
README.txt demo_benchmark_app.sh demo_squeezenet_download_convert_run.sh utils.sh
car.png demo_security_barrier_camera.conf output
car_1.bmp demo_security_barrier_camera.sh squeezenet1.1.labels
root@e435a63279f8:/opt/intel/openvino_2021.2.185/deployment_tools/demo#
root@e435a63279f8: ./demo_security_barrier_camera.sh -d CPU -sample-options -no_show
# -d CPU : CPU执行
# -no_show: docker后端无法显示图片，否则报错，也可以修改跑open_model_zoo源文件
3.4 Results
Due to network reasons, the idol will generally be slow to download. You can put the pre-downloaded model into the container:
Ctrl+P+Q #后台退出容器
docker cp (/path/to/model)/openvino_models/ e435a63279f8:/root
carried out:
root@e435a63279f8:/opt/intel/openvino_2021.2.185/deployment_tools/demo# ./demo_security_barrier_camera.sh -d CPU -sample-options -no_show
target = CPU
sample-options = -no_show
Get:1 http://security.ubuntu.com/ubuntu bionic-security InRelease [88.7 kB]
Hit:2 http://archive.ubuntu.com/ubuntu bionic InRelease
Hit:3 http://archive.canonical.com/ubuntu bionic InRelease
Get:4 http://archive.ubuntu.com/ubuntu bionic-updates InRelease [88.7 kB]
Get:5 http://archive.ubuntu.com/ubuntu bionic-backports InRelease [74.6 kB]
Fetched 252 kB in 3s (80.4 kB/s)
Reading package lists... Done
Building dependency tree
Reading state information... Done
15 packages can be upgraded. Run 'apt list --upgradable' to see them.
Run sudo -E apt -y install build-essential python3-pip virtualenv cmake libcairo2-dev libpango1.0-dev libglib2.0-dev libgtk2.0-dev libswscale-dev libavcodec-dev libavformat-dev libgstreamer1.0-0 gstreamer1.0-plugins-base
Reading package lists... Done
Building dependency tree
Reading state information... Done
build-essential is already the newest version (12.4ubuntu1).
libgtk2.0-dev is already the newest version (2.24.32-1ubuntu1).
virtualenv is already the newest version (15.1.0+ds-1.1).
cmake is already the newest version (3.10.2-1ubuntu2.18.04.1).
gstreamer1.0-plugins-base is already the newest version (1.14.5-0ubuntu1~18.04.1).
libcairo2-dev is already the newest version (1.15.10-2ubuntu0.1).
libglib2.0-dev is already the newest version (2.56.4-0ubuntu0.18.04.6).
libgstreamer1.0-0 is already the newest version (1.14.5-0ubuntu1~18.04.1).
libpango1.0-dev is already the newest version (1.40.14-1ubuntu0.1).
libavcodec-dev is already the newest version (7:3.4.8-0ubuntu0.2).
libavformat-dev is already the newest version (7:3.4.8-0ubuntu0.2).
libswscale-dev is already the newest version (7:3.4.8-0ubuntu0.2).
python3-pip is already the newest version (9.0.1-2.3~ubuntu1.18.04.4).
0 upgraded, 0 newly installed, 0 to remove and 15 not upgraded.
Reading package lists... Done
Building dependency tree
Reading state information... Done
libpng-dev is already the newest version (1.6.34-1ubuntu0.18.04.2).
0 upgraded, 0 newly installed, 0 to remove and 15 not upgraded.
Requirement already satisfied: pyyaml in /usr/local/lib/python3.6/dist-packages (from -r /opt/intel/openvino_2021.2.185/deployment_tools/demo/../open_model_zoo/tools/downloader/requirements.in (line 1)) (5.3.1)
Requirement already satisfied: requests in /usr/local/lib/python3.6/dist-packages (from -r /opt/intel/openvino_2021.2.185/deployment_tools/demo/../open_model_zoo/tools/downloader/requirements.in (line 2)) (2.25.1)
Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.6/dist-packages (from requests->-r /opt/intel/openvino_2021.2.185/deployment_tools/demo/../open_model_zoo/tools/downloader/requirements.in (line 2)) (1.26.2)
Requirement already satisfied: idna<3,>=2.5 in /usr/local/lib/python3.6/dist-packages (from requests->-r /opt/intel/openvino_2021.2.185/deployment_tools/demo/../open_model_zoo/tools/downloader/requirements.in (line 2)) (2.10)
Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.6/dist-packages (from requests->-r /opt/intel/openvino_2021.2.185/deployment_tools/demo/../open_model_zoo/tools/downloader/requirements.in (line 2)) (2020.12.5)
Requirement already satisfied: chardet<5,>=3.0.2 in /usr/local/lib/python3.6/dist-packages (from requests->-r /opt/intel/openvino_2021.2.185/deployment_tools/demo/../open_model_zoo/tools/downloader/requirements.in (line 2)) (4.0.0)
WARNING: You are using pip version 20.3.3; however, version 21.0 is available.
You should consider upgrading via the '/usr/bin/python3.6 -m pip install --upgrade pip' command.
[setupvars.sh] OpenVINO environment initialized
###################################################
Downloading Intel models
target_precision = FP16
Run python3 /opt/intel/openvino_2021.2.185/deployment_tools/open_model_zoo/tools/downloader/downloader.py --name vehicle-license-plate-detection-barrier-0106 --output_dir /root/openvino_models/ir --cache_dir /root/openvino_models/cache
################|| Downloading vehicle-license-plate-detection-barrier-0106 ||################
========== Retrieving /root/openvino_models/ir/intel/vehicle-license-plate-detection-barrier-0106/FP32/vehicle-license-plate-detection-barrier-0106.xml from the cache
========== Retrieving /root/openvino_models/ir/intel/vehicle-license-plate-detection-barrier-0106/FP32/vehicle-license-plate-detection-barrier-0106.bin from the cache
========== Retrieving /root/openvino_models/ir/intel/vehicle-license-plate-detection-barrier-0106/FP16/vehicle-license-plate-detection-barrier-0106.xml from the cache
========== Retrieving /root/openvino_models/ir/intel/vehicle-license-plate-detection-barrier-0106/FP16/vehicle-license-plate-detection-barrier-0106.bin from the cache
========== Retrieving /root/openvino_models/ir/intel/vehicle-license-plate-detection-barrier-0106/FP16-INT8/vehicle-license-plate-detection-barrier-0106.xml from the cache
========== Retrieving /root/openvino_models/ir/intel/vehicle-license-plate-detection-barrier-0106/FP16-INT8/vehicle-license-plate-detection-barrier-0106.bin from the cache
Run python3 /opt/intel/openvino_2021.2.185/deployment_tools/open_model_zoo/tools/downloader/downloader.py --name license-plate-recognition-barrier-0001 --output_dir /root/openvino_models/ir --cache_dir /root/openvino_models/cache
################|| Downloading license-plate-recognition-barrier-0001 ||################
========== Retrieving /root/openvino_models/ir/intel/license-plate-recognition-barrier-0001/FP32/license-plate-recognition-barrier-0001.xml from the cache
========== Retrieving /root/openvino_models/ir/intel/license-plate-recognition-barrier-0001/FP32/license-plate-recognition-barrier-0001.bin from the cache
========== Retrieving /root/openvino_models/ir/intel/license-plate-recognition-barrier-0001/FP16/license-plate-recognition-barrier-0001.xml from the cache
========== Retrieving /root/openvino_models/ir/intel/license-plate-recognition-barrier-0001/FP16/license-plate-recognition-barrier-0001.bin from the cache
========== Retrieving /root/openvino_models/ir/intel/license-plate-recognition-barrier-0001/FP16-INT8/license-plate-recognition-barrier-0001.xml from the cache
========== Retrieving /root/openvino_models/ir/intel/license-plate-recognition-barrier-0001/FP16-INT8/license-plate-recognition-barrier-0001.bin from the cache
Run python3 /opt/intel/openvino_2021.2.185/deployment_tools/open_model_zoo/tools/downloader/downloader.py --name vehicle-attributes-recognition-barrier-0039 --output_dir /root/openvino_models/ir --cache_dir /root/openvino_models/cache
################|| Downloading vehicle-attributes-recognition-barrier-0039 ||################
========== Retrieving /root/openvino_models/ir/intel/vehicle-attributes-recognition-barrier-0039/FP32/vehicle-attributes-recognition-barrier-0039.xml from the cache
========== Retrieving /root/openvino_models/ir/intel/vehicle-attributes-recognition-barrier-0039/FP32/vehicle-attributes-recognition-barrier-0039.bin from the cache
========== Retrieving /root/openvino_models/ir/intel/vehicle-attributes-recognition-barrier-0039/FP16/vehicle-attributes-recognition-barrier-0039.xml from the cache
========== Retrieving /root/openvino_models/ir/intel/vehicle-attributes-recognition-barrier-0039/FP16/vehicle-attributes-recognition-barrier-0039.bin from the cache
========== Retrieving /root/openvino_models/ir/intel/vehicle-attributes-recognition-barrier-0039/FP16-INT8/vehicle-attributes-recognition-barrier-0039.xml from the cache
========== Retrieving /root/openvino_models/ir/intel/vehicle-attributes-recognition-barrier-0039/FP16-INT8/vehicle-attributes-recognition-barrier-0039.bin from the cache
###################################################
Build Inference Engine demos
-- The C compiler identification is GNU 7.5.0
-- The CXX compiler identification is GNU 7.5.0
-- Detecting C compiler ABI info
-- Detecting C compiler ABI info - done
-- Check for working C compiler: /usr/bin/cc - skipped
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-- Looking for C++ include stddef.h - found
-- Check size of uint32_t
-- Check size of uint32_t - done
-- Looking for strtoll
-- Looking for strtoll - found
-- Found InferenceEngine: /opt/intel/openvino_2021.2.185/deployment_tools/inference_engine/lib/intel64/libinference_engine.so (Required is at least version "2.0")
-- Found OpenCV: /opt/intel/openvino_2021.2.185/opencv (found version "4.5.1") found components: core imgcodecs videoio
-- Found OpenCV: /opt/intel/openvino_2021.2.185/opencv (found version "4.5.1") found components: core imgproc
-- Looking for pthread.h
-- Looking for pthread.h - found
-- Performing Test CMAKE_HAVE_LIBC_PTHREAD
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-- Looking for pthread_create in pthread - found
-- Found Threads: TRUE
-- Configuring done
-- Generating done
-- Build files have been written to: /root/inference_engine_demos_build
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###################################################
Run Inference Engine security_barrier_camera demo
Run ./security_barrier_camera_demo -d CPU -d_va CPU -d_lpr CPU -i /opt/intel/openvino_2021.2.185/deployment_tools/demo/car_1.bmp -m /root/openvino_models/ir/intel/vehicle-license-plate-detection-barrier-0106/FP16/vehicle-license-plate-detection-barrier-0106.xml -m_lpr /root/openvino_models/ir/intel/license-plate-recognition-barrier-0001/FP16/license-plate-recognition-barrier-0001.xml -m_va /root/openvino_models/ir/intel/vehicle-attributes-recognition-barrier-0039/FP16/vehicle-attributes-recognition-barrier-0039.xml -no_show
[ INFO ] InferenceEngine: API version ......... 2.1
Build ........... 2021.2.0-1877-176bdf51370-releases/2021/2
[ INFO ] Files were added: 1
[ INFO ] /opt/intel/openvino_2021.2.185/deployment_tools/demo/car_1.bmp
[ INFO ] Loading device CPU
[ INFO ] CPU
MKLDNNPlugin version ......... 2.1
Build ........... 2021.2.0-1877-176bdf51370-releases/2021/2
[ INFO ] Loading detection model to the CPU plugin
[ INFO ] Loading Vehicle Attribs model to the CPU plugin
[ INFO ] Loading Licence Plate Recognition (LPR) model to the CPU plugin
[ INFO ] Number of InferRequests: 1 (detection), 3 (classification), 3 (recognition)
[ INFO ] 6 streams for CPU
[ INFO ] Display resolution: 1920x1080
[ INFO ] Number of allocated frames: 3
[ INFO ] Resizable input with support of ROI crop and auto resize is disabled
26.7FPS for (1 / 1) frames
Detection InferRequests usage: 100.0%
[ INFO ] Execution successful
###################################################
Demo completed successfully.
4. Modify the source code to save the result
# cd 到源码 以security_barrier_camera_demo为例
root@e435a63279f8: cd /opt/intel/openvino_2021.2.185/deployment_tools/open_model_zoo/demos/security_barrier_camera_demo
root@e435a63279f8: vim main.cpp
Modify line 364:
//cv::imshow("Detection results", firstGridIt->second.getMat());
slog::info << "save image demo_output.jpg" << slog::endl;
cv::imwrite("/opt/intel/openvino/deployment_tools/demo/output/demo_test.jpg", firstGridIt->second.getMat());
cd /opt/intel/openvino_2021.2.185/deployment_tools/demo
./demo_security_barrier_camera.sh
Since there is no data volume yet, copy the image file from the container to the host
[root@abc123 /]# docker cp e435a63279f8:/opt/intel/openvino/deployment_tools/demo/output/ /source/d0/openVino/docker_openvino/output_docker/
# 主机复制到容器
#[root@abc123 /]# docker cp /home/***/openvino_models/ e435a63279f8:/root
[External link image transfer failed. The source site may have an anti-leech link mechanism. It is recommended to save the image and upload it directly (img-lk8ysvoG-1611888264819)(images/image-20210129103626119.png)]
``
root@e435a63279f8: cd /opt/intel/openvino_2021.2.185/deployment_tools/demo
./demo_security_barrier_camera.sh
Since there is no data volume yet, copy the image file from the container to the host
Ctrl+P+Q
docker cp e435a63279f8:/opt/intel/openvino/deployment_tools/demo/output/ /source/d0/openVino/docker_openvino/output_docker/
# 主机复制到容器
# docker cp /(path)/openvino_models/ e435a63279f8:/root
How to submit your own image
commit mirror
If you want to save the state of the current container, you can submit it through commit to generate a new image.
docker commit 提交容器成为一个新的副本
# 命令和git原理类似
docker commit -m=“提交的描述信息” -a="作者" 容器id 目标镜像名：[TAG]
Practice test
# 1. 启动一个默认的镜像 以docker openvino为例
docker run -it -u 0 openvino/ubuntu18_dev
# 2. 发现默认的镜像 没有其它一些需要的指令或者packages
# 没有sudo vim等指令
root@d3e2a3d5a7cd:/opt/intel/openvino_2021.2.185# sudo
bash: sudo: command not found
# 3. 拷贝或者添加自己的文件进去
root@d3e2a3d5a7cd:/opt/intel/openvino_2021.2.185# apt-get install
root@d3e2a3d5a7cd:/opt/intel/openvino_2021.2.185# apt-get install sudo
root@d3e2a3d5a7cd:/opt/intel/openvino_2021.2.185# apt-get install vim
# 将主机的文件 复制 到容器
# Ctrl+P+Q 后台退出
[root@abc123 /]# docker cp /src/openvino_models/ d3e2a3d5a7cd:/root
# 再次进入容器
[root@abc123 /]# docker exec -it d3e2a3d5a7cd /bin/bash
[setupvars.sh] OpenVINO environment initialized
root@d3e2a3d5a7cd:/opt/intel/openvino_2021.2.185#
root@d3e2a3d5a7cd:/# cd /root # openvino下载的路径（这里是预先cp）
root@d3e2a3d5a7cd:~# ls
# 拷贝的文件
openvino_models
# 再次测试
root@d3e2a3d5a7cd:/opt/intel/openvino/deployment_tools/demo# ./demo_security_barrier_camera.sh -d CPU -sample-options -no_show
[ INFO ] InferenceEngine: API version ......... 2.1
Build ........... 2021.2.0-1877-176bdf51370-releases/2021/2
[ INFO ] Files were added: 1
[ INFO ] /opt/intel/openvino/deployment_tools/demo/car_1.bmp
[ INFO ] Loading device CPU
[ INFO ] CPU
MKLDNNPlugin version ......... 2.1
Build ........... 2021.2.0-1877-176bdf51370-releases/2021/2
[ INFO ] Loading detection model to the CPU plugin
[ INFO ] Loading Vehicle Attribs model to the CPU plugin
[ INFO ] Loading Licence Plate Recognition (LPR) model to the CPU plugin
[ INFO ] Number of InferRequests: 1 (detection), 3 (classification), 3 (recognition)
[ INFO ] 6 streams for CPU
[ INFO ] Display resolution: 1920x1080
[ INFO ] Number of allocated frames: 3
[ INFO ] Resizable input with support of ROI crop and auto resize is disabled
20.4FPS for (1 / 1) frames
Detection InferRequests usage: 100.0%
[ INFO ] Execution successful
# 如果不打包成新镜像，每次都要重复上述步骤，这显然不是我们想要的
# 4. commit 制作新镜像
# Ctrl+P+Q 后台退出
[root@abc123 /]# docker commit -a="guojing" -m="add vim、sudo and model" 782cb305a98a openvino01:1.0
# 生成新的镜像 openvino01
[root@abc123 /]# docker images
REPOSITORY TAG IMAGE ID CREATED SIZE
openvino01 1.0 48d0ddc0ac05 26 seconds ago 9.7GB
openvino/ubuntu18_dev latest 7362311fbea9 6 weeks ago 7.22GB
openvino/ubuntu18_runtime latest ba2618fce9ec 6 weeks ago 1.25GB
hello-world latest bf756fb1ae65 13 months ago 13.3kB
# 进入新生成的镜像
[root@abc123 /]# docker run -it openvino01:1.0
[setupvars.sh] OpenVINO environment initialized
root@34336226f2ee:/opt/intel/openvino_2021.2.185#
# 可以运行sudo vim指令 不需要重新安装
root@34336226f2ee:/opt/intel/openvino_2021.2.185/deployment_tools/demo# vim
# 运行demo脚本，也顺利通过
root@34336226f2ee:/opt/intel/openvino_2021.2.185/deployment_tools/demo# ./demo_security_barrier_camera.sh -d CPU -sample-options -no_show
Container data volume
What is a container data volume
Docker concept: package the application and environment into a mirror
For data
If the data is in the container, delete the container and the data will be lost! Requirements: data can be persisted
There is a data sharing technology between docker containers, which is actually to mount the host directory to the container.
Use data volume
Method 1: directly use the command to mount -v
[root@abc123 /]# docker run -it -v /src:/src openvino01:1.0
[setupvars.sh] OpenVINO environment initialized
root@2cd9a61e8464:/opt/intel/openvino_2021.2.185# cd /
root@2cd9a61e8464:/# ls
bin boot dev etc home lib lib64 media mnt opt proc root run sbin source srv sys thirdparty tmp usr var
Reference: https://docs.openvinotoolkit.org/latest/openvino_docs_install_guides_installing_openvino_linux.html
https://hub.docker.com/r/openvino/ubuntu18_dev